mlsanityData to 7 Oct 2026

A Survey on Awesome Korean NLP Datasets

arXiv 2112.01624 ↗First posted 17 Oct 2021cs.CL cs.LGcited by 3

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Abstract (arXiv)

English based datasets are commonly available from Kaggle, GitHub, or recently published papers. Although benchmark tests with English datasets are sufficient to show off the performances of new models and methods, still a researcher need to train and validate the models on Korean based datasets to produce a technology or product, suitable for Korean processing. This paper introduces 15 popular Korean based NLP datasets with summarized details such as volume, license, repositories, and other research results inspired by the datasets. Also, I provide high-resolution instructions with sample or statistics of datasets. The main characteristics of datasets are presented on a single table to provide a rapid summarization of datasets for researchers.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 28 of its 71 references that are in the map. First posted on arXiv 17 Oct 2021.

Builds on

28 of 71 references.

References · 28

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16 more
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Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 1.

3 papers.

  1. 2025Advances and Challenges in Semantic Textual Similarity: A Comprehensive Surveycited by 1
  2. 2022Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language modelscited by 0
  3. 2024KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filteringcited by 0